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Big Data Hadoop Jobs (NOW HIRING)

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must ...

Strong understanding of Hadoop fundamentals. * Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig. * Strong understanding of RDBMS concepts and must ...

Analyze application for data integrity issues. * Develop test protocols or plan for testing revised ... Proven understanding and related experience with Hadoop, Hive, Sqoop and Map/Reduce * Ability to ...

Senior Big Data Developer

Bristol, CT

$53 - $68.75/hr

Big Data, Hadoop, Spark AWS - Redshift Strong Java development Qualifications Big Data, Hadoop, Spark,AWS Additional Information All your information will be kept confidential according to EEO ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

RESPONSIBILITIES Experience and knowledge of big data technologies such as Hadoop, HBase, Hive is required. Spark and Kafka experience is nice to have. Develop reports, dashboards and metadata layers ...

Senior BIG DATA (Hadoop) Tester We are looking to hire for a Senior Big Data Tester (Hadoop/HDFS) with 6+ years of experience in information technology with an emphasis on software quality assurance ...

... of hadoop fundamentals Strong understanding of RDBMS concepts and experience with relational ... Java and Big data related technologies Atleast 2 years of hands on design and development ...

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Big Data Hadoop information

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How much do big data hadoop jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for big data hadoop in the United States is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $60.34 per hour, depending on experience, location, and employer.

Is Big Data Hadoop used in big data?

Big Data Hadoop is a widely used framework for processing large datasets in big data environments. Hadoop's distributed storage and processing capabilities make it essential for data engineers and analysts working with massive data volumes, often complemented by skills in MapReduce, HDFS, and related tools.

What are the key skills and qualifications needed to thrive as a Big Data Hadoop professional?

To thrive as a Big Data Hadoop professional, you need expertise in distributed computing, data processing, and programming languages like Java, Python, or Scala, typically supported by a degree in computer science or related fields. Familiarity with Hadoop ecosystem tools (such as HDFS, MapReduce, Hive, Pig, Spark), and certifications like Cloudera Certified Associate (CCA) or Hortonworks Certified Associate (HCA) are highly valued. Strong analytical skills, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are essential for efficiently managing and processing massive datasets, ensuring data-driven decision-making, and collaborating with cross-functional teams.

What is the difference between Big Data Hadoop vs Data Engineer?

AspectBig Data HadoopData Engineer
Primary FocusManaging and processing large datasets using Hadoop ecosystemDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsHadoop, MapReduce, HDFS, Hive, PigSQL, ETL, Python, Spark, cloud platforms
Work EnvironmentBig data environments, data centers, cloud platformsData warehouses, cloud services, enterprise IT
CertificationsHadoop certifications, Cloudera, HortonworksGoogle Cloud, AWS, Microsoft Azure certifications

While Big Data Hadoop specialists focus on managing and processing data using Hadoop tools, Data Engineers design and develop data pipelines and infrastructure to support data analysis. Both roles often collaborate but have distinct skill sets and responsibilities within the data ecosystem.

What is a Big Data Hadoop professional?

A Big Data Hadoop professional is someone skilled in using Apache Hadoop, an open-source framework that processes and stores vast amounts of data across distributed computer clusters. These professionals typically work with tools within the Hadoop ecosystem, such as HDFS (Hadoop Distributed File System), MapReduce, Hive, Pig, and HBase, to manage big data workflows. Their responsibilities include designing, developing, and maintaining scalable data processing systems, ensuring data reliability and security, and optimizing performance for analytics and business intelligence applications.

What are some common challenges faced by Big Data Hadoop professionals when managing large data clusters?

Big Data Hadoop professionals often encounter challenges such as ensuring cluster performance and reliability, handling data security, and managing resource allocation efficiently. Balancing workloads across nodes, troubleshooting job failures, and optimizing storage and processing can require creative problem-solving and close monitoring. Additionally, keeping up with rapid technology changes and integrating Hadoop with other data tools are ongoing aspects of the role. Collaboration with data engineers, analysts, and IT teams is essential for maintaining smooth operations and addressing issues quickly.

What are jobs in Big Data Hadoop?

Jobs in Big Data Hadoop include roles such as Hadoop Developer, Data Engineer, and Big Data Architect, focusing on designing, developing, and maintaining data processing systems using Hadoop ecosystem tools like HDFS, MapReduce, and Spark. These roles typically require knowledge of programming languages like Java or Python, data modeling, and experience with distributed computing environments.
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Infographic showing various Big Data Hadoop job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Big Data Hadoop Consultant

Sonsoft Inc

Phoenix, AZ • On-site

Full-time

Re-posted 22 days ago


Job description

Company Description

SonSoft Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. SonSoft Inc is growing at a steady pace specializing in the fields of Software Development, Software Consultancy, and Information Technology Enabled Services.

Job Description
  • Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture.
  • Must have strong programming knowledge of Core Java or Scala - Objects & Classes, Data Types, Arrays and String Operations, Operators, Control Flow Statements, Inheritance and Interfaces, Exception Handling, Serialization, Collections, Reading and Writing Files.
  • Must have hands on experience in design, implementation, and build of applications or solutions using Core Java/Scala.
  • Strong understanding of Hadoop fundamentals.
  • Must have experience working on Big Data Processing Frameworks and Tools - MapReduce, YARN, Hive, Pig.
  • Strong understanding of RDBMS concepts and must have good knowledge of writing SQL and interacting with RDBMS and NoSQL database - HBase programmatically.
  • Strong understanding of File Formats - Parquet, Hadoop File formats.
  • Proficient with application build and continuous integration tools - Maven, SBT, Jenkins, SVN, Git.
  • Experience in working on Agile and Rally tool is a plus
  • Strong understanding and hands-on programming/scripting experience skills - UNIX shell, Python, Perl, and JavaScript.
  • Should have worked on large data sets and experience with performance tuning and troubleshooting.

Preferred

  • Knowledge of Java Beans, Annotations, Logging (log4j), and Generics is a plus.
  • Knowledge of Design Patterns - Java and/or GOF is a plus.
  • Knowledge of Spark, Spark Streaming, Spark SQL, and Kafka is a plus.
  • Experience to Financial domain is preferred
  • Experience and desire to work in a Global delivery environment.
Qualifications
  • Bachelor's degree or foreign equivalent required. Will also consider one year of relevant work experience in lieu of every year of education.
  • Atleast 5 years of Design and development experience in Big data, Java or Data warehousing related technologies.
  • Atleast 3 years of hands on design and development experience on Big data related technologies - PIG, Hive, MapReduce, HDFS, HBase, Hive, YARN, SPARK, Oozie, Java and shell scripting.
  • Should be a strong communicator and be able to work independently with minimum involvement from client SMEs.
  • Should be able to work in team in diverse/ multiple stakeholder environment.
Additional Information

Connect with me at https://www.linkedin.com/in/mir-hasham-ali/  (For Direct Clients Requirements)


** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.

Note:-

  1. This is a Full-Time & Permanent job opportunity for you.
  2. Only US Citizen, Green Card HolderGC-EADH4-EAD & L2-EAD can apply.
  3. No OPT-EAD, H1B & TN candidates, please.
  4. Please mention your Visa Status in your email or resume.

** All your information will be kept confidential according to EEO guidelines.


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About Sonsoft

Sourced by ZipRecruiter

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007